782 search results - page 106 / 157 » Using Component Features for Face Recognition |
149
click to vote
CVPR
2011
IEEE
14 years 10 months ago
2011
IEEE
The most popular way to use probabilistic models in vision is first to extract some descriptors of small image patches or object parts using well-engineered features, and then to...
121
click to vote
FGR
2004
IEEE
15 years 6 months ago
2004
IEEE
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...
134
click to vote
ICTAI
1993
IEEE
15 years 6 months ago
1993
IEEE
Selecting a set of features which is optimal for a given task is a problem which plays an important role in a wide variety of contexts including pattern recognition, adaptive cont...
95
Voted
ICPR
2006
IEEE
16 years 3 months ago
2006
IEEE
This paper describes a new motion based feature extraction technique for speaker identification using orientation estimation in 2D manifolds. The motion is estimated by computing ...
136
Voted
CVPR
2003
IEEE
16 years 4 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...